Automated Extraction of the Coronary Tree by Integrating Localized Aorta-Based Intensity Distribution Statistics in Active Contour Segmentation

M. Moazzam Jawaid, Panos Liatsis, Sanam Narejo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

State-of-the-art Computed Tomography Angiography (CTA) scanners are capable of acquiring rigorous 3D vasculature information. Blood filled vessels are extracted from the data cloud for pathological analysis on the basis of intensity value, measured in Hounsfield units. Setting a hard threshold in CTA images for differentiating coronaries from fatty muscles of heart could be misleading as it lacks behavioural information of the contrast agent in the respective CTA volume. It is common for under-or over-segmentation to occur due to the improper diffusion of the contrast agent in the different branches. This problem motivates research to determine an optimal threshold for volumes individually by examining the behaviour of the contrast agent. In this work, intensity distribution statistics (extracted from the segmented aorta through an examination of the initial CTA axial slices) is integrated in the curve evolution process to track the progression of coronary arteries. Optimal threshold value is obtained individually for 12 clinical volumes by Gaussian fitting of the aorta intensity histogram. The obtained range is validated by comparing the intensity values of manually selected coronary segments for each volume at 50 random points. The automatic segmentation process starts with the detection of a coronary seed point based on geometric analysis of the aorta. In the subsequent stages, the derived intensity threshold value and seed point are used in localized active contour-based segmentation for precise delineation of vessel boundaries. Initial visual results appear promising and validate the standard anatomical structure of coronary trees, whereas statistical quantification is in process.

Original languageBritish English
Title of host publicationProceedings - 2015 International Conference on Developments in eSystems Engineering, DeSE 2015
EditorsAbir Hussain, Dhiya Al-Jumeily, Hissam Tawfik, Aine MacDermott, Brett Lempereur
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-87
Number of pages5
ISBN (Electronic)9781509018611
DOIs
StatePublished - 8 Sep 2016
Event8th International Conference on Developments in eSystems Engineering, DeSE 2015 - Dubai, United Arab Emirates
Duration: 13 Dec 201514 Dec 2015

Publication series

NameProceedings - 2015 International Conference on Developments in eSystems Engineering, DeSE 2015

Conference

Conference8th International Conference on Developments in eSystems Engineering, DeSE 2015
Country/TerritoryUnited Arab Emirates
CityDubai
Period13/12/1514/12/15

Keywords

  • Automatic seed initialization
  • Contour adjustment
  • CTA coronary extraction
  • Localised regional statistics

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